Minimization of the maximum peak-to-peak gain: the general multiblock problem
A comprehensive study of the general l/sub 1/-optimal multiblock problem and a new linear programming algorithm for computing suboptimal controllers are presented. By formulating the interpolation conditions in a concise and natural way, the general theory is developed in simpler terms and with a mi...
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| Published in: | IEEE transactions on automatic control Vol. 38; no. 10; pp. 1459 - 1482 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.10.1993
Institute of Electrical and Electronics Engineers |
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| ISSN: | 0018-9286 |
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| Abstract | A comprehensive study of the general l/sub 1/-optimal multiblock problem and a new linear programming algorithm for computing suboptimal controllers are presented. By formulating the interpolation conditions in a concise and natural way, the general theory is developed in simpler terms and with a minimum number of assumptions. In addition, further insight is gained into the structure of the optimal solution, and different classes of multiblock problems are distinguished. This leads to a conceptually attractive, iterative method for finding approximate solutions.< > |
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| AbstractList | A comprehensive study of the general < e1 > l < /e1 > (1)-optimal multiblock problem and a new linear programming algorithm for computing suboptimal controllers are presented. By formulating the interpolation conditions in a concise and natural way, the general theory is developed in simpler terms and with a minimum number of assumptions. In addition, further insight is gained into the structure of the optimal solution, and different classes of multiblock problems are distinguished. This leads to a conceptually attractive, iterative method for finding approximate solutions A comprehensive study of the general l/sub 1/-optimal multiblock problem and a new linear programming algorithm for computing suboptimal controllers are presented. By formulating the interpolation conditions in a concise and natural way, the general theory is developed in simpler terms and with a minimum number of assumptions. In addition, further insight is gained into the structure of the optimal solution, and different classes of multiblock problems are distinguished. This leads to a conceptually attractive, iterative method for finding approximate solutions.< > |
| Author | Dahleh, M.A. Diaz-Bobillo, I.J. |
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| Keywords | Interpolation Suboptimal control Optimal solution Control synthesis Linear programming Aircraft Optimization |
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| References | ref13 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref33 ref11 ref32 ref10 kreyszig (ref25) 1989 ref2 ref1 ref17 ref38 ref16 luenberger (ref27) 1984 ref19 gohberg (ref21) 1982 golub (ref22) 1983 kailath (ref23) 1980 ref24 ref20 luenberger (ref26) 1969 stein (ref35) 1987 ref28 ref29 ref8 ref7 ref9 ref4 ref3 diaz-bobillo (ref18) 1992 ref6 ref5 staffans (ref34) 1990 |
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| SubjectTerms | Applied sciences Computer science; control theory; systems Control systems Control theory. Systems Delay Design optimization Exact sciences and technology Interpolation Iterative methods Linear programming Optimal control Polynomials Robustness Time domain analysis Vectors |
| Title | Minimization of the maximum peak-to-peak gain: the general multiblock problem |
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